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A developer built a custom Python interface that routes 70% of prompts to local models like Gemma 4 26B and Qwen3-Coder 30B via Ollama, reserving Anthropic's Claude for complex reasoning. This cut monthly AI spending from over $300 to roughly half by avoiding flagship model overuse.
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